Case Study: phData achieves more accurate logistics and retail forecasting with Mapbox Movement Data

phData boosts forecast accuracy by up to 20% with Mapbox

phData, a machine learning and data analytics consulting company, faced the challenge of creating highly accurate forecasts for its clients in logistics and retail, where on-time shipments are critical. To improve their forecasting models, they turned to vendor Mapbox and its product, Mapbox Movement data.

The solution implemented by Mapbox provided phData with a scalable, privacy-forward global mobility dataset to measure human behavior and economic activity. Using this data as an input, Mapbox helped phData generate forecasts that were up to 20% more accurate, with one instance achieving near 80% accuracy for a week. This significant improvement can result in millions of dollars saved for clients through better strategic planning.

PHData

Elizabeth Dinevski

Director of Data Science